Research Scientist, Catalyst Simulation
New
S
SandboxAQAI Simulation
United StatesFull-TimeSenior
Salary112,000 - 210,000 USD per year
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Job Details
- Experience
- 3+ years of proven industrial R&D experience
- Required Skills
- PythonMachine Learning
Requirements
- PhD in Chemical Engineering, Materials Science, Chemistry, or equivalent practical experience.
- Experience developing and utilizing modern atomistic simulation methods, machine-learned force fields, and microkinetic models.
- Experience performing in silico catalyst discovery and/or optimization projects.
- Strong background in software development with Python for computational materials analysis.
- Experience implementing open-source packages in an HPC environment.
- Ability to collaborate effectively within diverse, interdisciplinary teams.
- Strong publication record demonstrating interdisciplinary collaboration.
- 3+ years of proven industrial R&D experience (highly desired).
- Hands-on experience with experimental methods for heterogeneous catalysis research (highly desired).
- Experience developing software in an industrial setting (highly desired).
Responsibilities
- Develop large-scale datasets and machine-learned force fields or potentials for materials discovery.
- Deploy and support the design and implementation of computational workflows simulating the reactivity and dynamics of catalytic materials.
- Collaborate with platform, machine learning, and software engineering teams to improve discovery workflows.
- Support client engagements focused on the discovery and optimization of heterogeneous catalyst materials.
- Support business functions with technical diligence and proposal development for pre-sales engagements.
- Prepare high-impact reports, presentations, and publications.
- Mentor junior scientists and interns in catalysis, reaction engineering, and computational methods.
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